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All Journal Jurnal Algoritma Jurnal sistem informasi, Teknologi informasi dan komputer Format : Jurnal Imiah Teknik Informatika Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri Jurnal Mitra Manajemen JURNAL ILMIAH INFORMATIKA Jurnal Teknik Informatika UNIKA Santo Thomas Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) EDUMATIC: Jurnal Pendidikan Informatika JISICOM (Journal of Information System, Infomatics and Computing) ScientiCO : Computer Science and Informatics Journal Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal of Applied Multimedia and Networking JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Indonesian Journal for Social Responsibility Jurnal Infortech Jurnal AbdiMas Nusa Mandiri Jurnal Dialektika Informatika (Detika) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Computer Science (CO-SCIENCE) Technologic J-SAKTI (Jurnal Sains Komputer dan Informatika) INSANtek – Jurnal Inovasi dan Sains Teknik Elektro JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Algoritma Paradigma Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Journal of Innovative and Creativity Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat TECHNOLOGIC KOMPUTASI
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DIAGNOSA PENYAKIT BELL’S PALSY MENGGUNAKAN ALGORITMA FINITE STATE AUTOMATA Fatiha, Zulfati Dinul; Krisnandi, Dwi; Putra, Jordy Lasmana; Novitasari, Hafifah Bella; Gata, Windu
ScientiCO : Computer Science and Informatics Journal Vol 4, No 2 (2021): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bell's Palsy is a neurological disorder that causes paralysis of the face. Delayed treatment will increase the risk of permanent disability and other problems such as psychological problems. Lack of knowledge, cost constraints, and limited places for consultations caused low public awareness for diagnosis. A diagnosis system is needed for Bell's Palsy disease, so recovery can be faster and reduce negative effects. The system design will use the Finite State Automata Algorithm to describe the pattern so that the program is more structured and directed. The design is expected to help create an early diagnosis system that is useful for the community and can be accessed easily, quickly, and efficiently.
Penerapan Neural Network Dalam Menentukan Tingkat Keberhasilan Immunotherapy Jordy Lasmana Putra; Mugi Raharjo
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 4, No 2 (2019): IJCIT November 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (790.246 KB) | DOI: 10.31294/ijcit.v4i2.6242

Abstract

Lebih baik mencegah dari pada mengobati, itulah pepatah yang sering kita dengar, yang dimana pada kenyataanya sering kita anggap remeh dan seolah abai untuk menjaga kesehatan. Menjaga kesehatan adalah tugas kita masing-masing, karena dengan tubuh yang sehat kita dapat melakukan aktivitas dengan baik. Penyakit kanker merupakan penyakit yang paling disegani, karena dengan mahalnya biaya pengobatan dan peluang untuk disembuhkannya cukup kecil. Salah satunya adalah kanker kulit, walau kanker ini tidak memiliki kasus kematian yang tinggi dibandingkan dengan kanker lainnya, tetapi kanker kulit cukup mematikan, karena penyebarannya yang cepat ke organ tubuh lainnya yang belum terkena kanker. Teknologi pengobatan yang diyakini sebagai terobosan rovolusioner dalam melawan kanker yaitu, yaitu Immnotherapy menjadi solusi yang tepat dalam menangani kasus kanker kulit. Penelitian ini bertujuan untuk menentukan tingkat keberhasilan Immunotherapy dalam menyembuhkan penyakit kanker kulit, yang dimana penelitian ini dapat menghasilkan klasifikasi yang baik dengan nilai akurasi sebesar 80,00% dan nilai sebesar AUC 0,721.
Penerapan Sistem Keamanan Jaringan Menggunakan VPN Dengan Metode PPTP Pada PT. Asri Pancawarna Jordy Lasmana Putra; Luthfi Indriyani; Yeni Angraini
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 3, No 2 (2018): IJCIT Nov 2018
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.984 KB) | DOI: 10.31294/ijcit.v3i2.4677

Abstract

AbstrakSistem Keamanan Jaringan semakin berkembang seiring dengan perkembangan Ilmu Pengetahuan dan Teknologi. Perusahaan - perusahaan sudah melakukan komputerisasi di setiap bagian perusahaan untuk menunjang proses operasional perusahaan. Semakin berkembang sebuah perusahaan membuat perusahaan terssebut membuka cabang baru untuk meningkatkan kualitas dan kuantitas produksi serta memperbesar keuntungan perusahaan itu sendiri. Dengan adanya komputerisasi di perusahaan – perusahaaan besar membuat perlu adanya Sistem Keamanan Jaringan yang baik, agar pertukaran data dari kantor pusat ke kantor cabang dapat dilakukan secara aman dan terkendali. Berbagai software sudah bisa mengatasi permasalahaan tersebut, akan tetapi dari segi keamanan data itu sendiri yang masih sangat dikhawatirkan kebocoran datanya, oleh karena itu dengan menggunakan teknologi VPN (Virtual Private Network) dengan metode PPTP (Point To Point Tunneling Protocol) sangat cocok digunakan untuk mengamankan pertukaran data perusahaan, karena proses kerja VPN yaitu dengan membuat jaringan sendiri yang sifatnya rahasia dengan menggunakan IP Publik, membuat keamanan data lebih terjaga kerahasiaannya dan mencegah kebocoran data oleh pihak-pihak yang tidak bertanggung jawab.Kata Kunci: PPTP, VPN, Sistem Keamanan JaringanAbstractNetwork Security System is growing with the development of Science and Technology. Companies are already computerized, where every part of the company is already using computers in its operations, the growing company makes the company terssebut open a new branch to improve the quality and quantity of production and increase the company's own profits. With the computerization in large companies make the need for a good Network Security System, in order to exchange data from the head office to the branch office can be done safely and in control. Various software has been able to overcome the problem, but in terms of data security itself which is still very concerned about data leakage, therefore using VPN technology with PPTP method is very suitable to be used to secure the exchange of corporate data, because the VPN work process is by making the network confidential self by using Public IP, make data security more awake its secrecy and prevent data leakage by irresponsible parties.Keyword: Network Security System, PPTP, VPN
Implementasi Metode Decision Tree Klasifikasi Data Mining Untuk Prediksi Peminatan Jurusan Robotika oleh Mahasiswa Mugi Raharjo; Ridwan ridwan; Jordy Lasmana Putra; Tommi Alfian Armawan Sandi
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.881 KB) | DOI: 10.31294/jtk.v5i2.4852

Abstract

Specialization of majors in a study program becomes something important must be an option for a student, for that they must think carefully before choosing the majors. Because later this thing can determine the success or failure of a student to understand what they learned to apply to during the final project. In the past few years there has been a question about the problem of electing majors in the Computer Technology Study Program. Because almost every year the majority of interest voters in majors are interested in computer network majors rather than robotics majors. majoring in majors, so the authors analyzed and retrieved data from 145 student samples in the electronic practicum course and chose 7 attributes in this study because this course was very influential on the interest in the robotics department in the Computer Technology study program. The author uses the classification tree Decision method to predict interest in students. Therefore, with this research, the authors hope that in the future with the results of this analysis can be found a solution to the problem of why students are more inclined to choose the interests of departments other than robotics, whether due to factors or other factors. Keywords: Computer Technology, Analysis, Classification
Algorithm Implementation Of Interest Buy Apriori Data On Consumer Retail Sales In Industry Ahmad Fachrurozi; Mufid Junaedi; Jordy Lasmana Putra; Windu Gata
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.699 KB) | DOI: 10.31289/jite.v4i1.3775

Abstract

This data processing has the aim to increase the company's turnover, because by being aware of how the interest in buying goods works, the company can buy products other than the main products that it buys. In increasing company revenue can be done using the Data Mining process, one of which uses a priori algorithm and association techniques. With this a priori algorithm found association technique which later can be used as a pattern of purchasing goods by consumers, this study uses a data repository of 958 data consisting of 45 transactions. From the results obtained goods with the name Paper Chain Kit 50's Christmas is a product that is often bought by consumers and it is known that the most frequent combination patterns are the Retro Spot Paper Chain Kit and the Paper Chain Kit 50's Christmas. So that with known buying patterns, the company manager can predict future market needs, and can calculate the stock of goods that must be reproduced, and goods whose stock must be reduced, and also with the results of the association the manager can manage the layout of the product to be better.Keywords: Apriori Algorithm, Sales Data, Retail.
Deterministic Finite State Automatic Smartphone Sales at Handphone Store Using Vending Machine Fikri Ismaya; Oky Kurniawan; Hafifah Bella Novitasari; Jordy Lasmana Putra; Windu Gata
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.5489

Abstract

Mobile phones are getting more sophisticated from year to year, and there are many features that have the latest in these cellphones. Mobile phones have the fastest network today with fourth generation technology so it's not slow to watch videos, play games, study online, and so on. Mobile phones sold have variations of Android and Iphone Operating System. The sale of the cellphones is through mall counters, roadside counters, and street vendor counters. Cellphone sales counters still use tables, cell phone holders, brochures to promote cellphones, and others seem boring, there must be something unique to attract customers' attention. This study aims to develop innovation in selling cellphones that are unique and different from other cellphone stores. The research method uses Deterministic Finite State Automata on the Vending Machine. State Diagram design to define features, main view design, and purchase flow. The results of the study using Deterministic Finite State Automata in the Vending Machine design make it easier for buyers to make purchases of cellphones independently and have their own uniqueness to attract customers' attention
Penerapan Game Development Life Cycle Untuk Video Game Dengan Model Role Playing Game Mustofa Mustofa; Jordy Lasmana Putra; Chandra Kesuma
Computer Science (CO-SCIENCE) Vol. 1 No. 1 (2021): Januari 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i1.158

Abstract

The development of technology and information drives the acceleration of a very dynamic world. With this discovery, computer technology, which was created as a tool for human work, has now developed into a means of games, entertainment, communication and so on. In the entertainment sector, one of the most popular pieces of technology is the video game industry. However, information and knowledge regarding video game development is not very popular in Indonesia, especially about the Life Cycle in the video game development process. In addition, video games have a wide variety of genres and different role-plays. So that not all Game Development Life Cycle (GDLC) models fit into certain game categories, especially the RPG (Roled Playing Game) genre which has unique role-playing. So it is necessary to have a suitable testing model. This study aims to test whether the Life Cylce Development Game proposed by Rido Ramadan and Yani Widyani can be used in the development of RPG (Roled Playing Game) video games. The results show that video game development using the Game Development Life Cycle (GDLC) proposed by Rido Ramadan and Yani Widyani, this video game can run well.
Rancang Bangun Aplikasi Pembelajaran Bahasa Arab Untuk Siswa Madrasah Ibtidaiyah Berbasis Android Waeisul Bismi; Musriatun Napiah; Jordy Lasmana Putra; Fajar Shidiq
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.256

Abstract

With the increasingly open mindset of society today, especially Indonesia, it makes it easy for us to accept new things and implement them in our lives, these new things appear in many aspects such as one of which is education. In terms of education, it is better if it is carried out at an early age, especially in terms of learning a second foreign language or a foreign language substituting for English, this is what elementary school teachers have realized and has begun to be implemented recently, to do this elementary schools need tools to create methods. this learning becomes effective. Therefore the authors make an Arabic learning application that will make it easier for elementary school teachers to effectively introduce basic Arabic such as the recognition of the names of the day for elementary school children, which is equipped with sounds and images that can attract children's interests. This application can be run on an Android smartphone with a minimum Android OS 5.0 (Lollipop) and a maximum Android OS is 8.1 (Oreo).
Memprediksi Pola Ban Hero Pada Game Mobile Legends Menggunakan Algoritma Apriori Jordy Lasmana Putra; Syarah Seimahuira
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.512

Abstract

In this digital era, the development of video games is so rapid, from console-based to smartphone devices. One of the trending video game genres is the Multiplayer Online Battle Arena (MOBA) with one of the most popular MOBA games, the Mobile Legends game. In winning a match in a Mobile Legends game, a good game strategy is needed from each team to defend the base and destroy the opponent's base, one of which is by Ban Hero or banning some existing heroes so that they cannot be used both for the opposing team and for the opposing team. own team. Therefore, this study was conducted to predict the pattern of hero tires using the Apriori algorithm which was carried out on 9 attributes of Hero Mobile Legends. From the results it is known that CHOU Hero is more widely used and not banned compared to 8 other Heroes
IMPLEMENTASI METODE K-NEAREST NEIGHBOR UNTUK PREDIKSI PENJUALAN KEMASAN SKINCARE PADA PT. UNIVERSAL JAYA PERKASA Rino Indra Muhammad; Esron Rikardo Nainggolan; Jordy Lasmana Putra; Sidik Sidik; Susafa'ati Susafa'ati; Ummu Radiyah
Technologic Vol 12, No 2 (2021): TECHNOLOGIC
Publisher : Politeknik Manufaktur Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v12i2.384

Abstract

PT. Universal Jaya Perkasa merupakan perusahaan yang bergerak dalam industri kemasan skincare. Perusahaan ini memiliki berbagai jenis kemasan skincare yang ditawarkan. Kendala yang dialami perusahaan yaitu belum adanya suatu metode dalam menentukan prediksi penjualan pada setiap produk di PT. Universal Jaya Perkasa dan belum adanya akurasi yang tepat dalam melihat penentuan suatu prediksi penjualan produk sehingga terjadi penumpukkan barang yang tidak terjual sesuai target perusahaan. Maka dibutuhkan prediksi untuk penjualan produk kemasan skincare yang paling banyak diminati setiap bulannya, yang berguna untuk mempermudah pihak perusahaan dalam perencanaan penyediaan stok produk. Untuk mengetahui penjualan produk kemasan skincare yang paling banyak diminati digunakan teknik klasifikasi data mining dan algoritma K-Nearest Neighbor menggunakan tools Rapidminer. Hasil perhitungan data mining menggunakan teknik klasifikasi dan algoritma K-Nearest Neighbor, terdiri dari atribut Kategori Produk, Kuantitas dan Bulan. Didapatkan hasil prediksi penjualan tertinggi pada produk kemasan skincare dengan 7 kategori produk yaitu Lipgloss Tube pada bulan (Juli & Maret), Cream Bottle (Februari), Essential Oil Bottle (Oktober), Spray Bottle (September), Powder Box (Januari), Pump Bottle (Agustus & Oktober) dan Tube (Agustus & Desember). Hasil pengujian perhitungan akurasi menggunakan Rapidminer untuk mengetahui penjualan beberapa bulan mendatang diperoleh hasil nilai akurasi 80%.
Co-Authors Agus Subekti Alda Zevana Putri Widodo Aldawiyah, Atiyah Alengka, Son Gohan Alfian Armawan Sandi, Tommi Amin Nur Rais Bayhaqy, Achmad Chandra Kesuma Denis Chandra Prabowo Destriana, Rachmat Dirgahayu Erri Dwi Krisnandi Dwiza Riana Eni Heni Hermaliani Eni Heni Hermaliani, Eni Heni Esron Rikardo Nainggolan Esron Rikardo Nainggolan Evita Fitri Fachrurozi, Ahmad Fajar Shidiq Fariq Mulia, Akbar Fatiha, Zulfati Dinul Febri Ainun Jariyah Fikri Ismaya Findi Ayu Sariasih Firmansyah Firmansyah Fitra Septia Nugraha Fitri, Evita Frieyadie Gata, Windu Hadianto, Nur Hafifah Bella Novitasari Hafifah Bella Novitasari Hafifah Bella Novitasari Hani Harafani Hengki Rusdianto I Gusti Bagus Arya Pradnja Paramitha Inggit Dessy Susanti Khamdun Khamdun Khuluq, Anjahul Krisnandi, Dwi Laela Kurniawati lazuardi, sandy ibrahim Leksono, Ilham Nur Luthfi Indriyani M. Iqbal Alifudin Mahdi Abdullah Mahmud Mahmud Marwan Marwan Miharja, Jaja Mufid Junaedi Mugi Raharjo Mugi Raharjo Mugi Raharjo Muhamad Hasan Musriatun Napiah Mustofa Mustofa Mustofa Mustofa Negoro, Alexander Rio Adi Nila Hardi Novitasari, Hafifah Bella Nurul Arifin Oky Kurniawan Prasetyo, Rizal Rachmawati Darma Astuti Rachmawati Darma Astuti Raharjo, Mugi Ridwan ridwan Ridwan, Ridwan Rino Indra Muhammad Rino Indra Muhammad1 Setyorini, Tyas Sidik Sidik Sidik Sri Rahayu Sujiliani Heristian Susafa'ati Susafa'ati Susafa’ati, Susafa’ati Suwanda Aditya Saputra Syarah Seimahuira Tika Adilah M Tommi Alfian Armawan Sandi Tyas Setiyorini Ummu Radhiyah Ummu Radiyah Virda Mega Ayu Waeisul Bismi Wahyutama Fitri Hidayat Warjiyono Warjiyono, Warjiyono Watmah, Sri Windu Gata Windu Gata Windu Gata Windu Gata WITRIANA ENDAH PANGESTI Yeni Angraini Zulfati Dinul Fatiha